Consistency conditions of the expert rule set in the probabilistic pattern recognition

  • Authors:
  • Marek W. Kurzynski

  • Affiliations:
  • Faculty of Electronics, Chair of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland

  • Venue:
  • CIS'04 Proceedings of the First international conference on Computational and Information Science
  • Year:
  • 2004

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Abstract

The present paper is devoted to the pattern recognition procedure based on the set of expert rules with unprecisely formulated weights understood as appropriate probabilities. Adopting the probabilistic model the different interpretations of rule weight are discussed and the consistency conditions of set of rules are given.